Yuchang Sun

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Heterogeneous Data

Mechanism Design

Stochastic Gradient Descent

Top Venues

IEEE Trans. Wirel. Commun.

IEEE Trans. Netw. Serv. Manag.

Publications

Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning. IEEE Trans. Wirel. Commun. 23 (7) (2024)
Yuchang Sun, Yuyi Mao, Jun Zhang
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates. IEEE Trans. Mob. Comput. 23 (7) (2024)
Xiaolu Wang, Yuchang Sun, Hoi-To Wai, Jun Zhang
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data. CoRR (2024)
Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. IEEE Trans. Wirel. Commun. 23 (6) (2024)
Yuchang Sun, Marios Kountouris, Jun Zhang
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning. CoRR (2024)
Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang
Probabilistic Device Scheduling for Over-the-Air Federated Learning. ICCT (2023)
Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Jun Zhang
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency. CoRR (2023)
Yuchang Sun, Yuyi Mao, Jun Zhang
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates. CoRR (2023)
Zijian Li, Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang
Feature Matching Data Synthesis for Non-IID Federated Learning. CoRR (2023)
Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning. CoRR (2023)
Wenqiang Sun, Sen Li, Yuchang Sun, Jun Zhang
DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning. CoRR (2023)
Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang
Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity. IEEE Trans. Netw. Serv. Manag. 20 (2) (2023)
Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. ISIT (2022)
Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. WCNC (2022)
Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. CoRR (2022)
Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients. ICC (2022)
Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. CoRR (2022)
Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. NeurIPS (2022)